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Recent immense breakthroughs in generative models such as in GPT4 have precipitated re-imagined ubiquitous usage of these models in all applications.
Lewis, M. et al · 1910
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Rouge: A package for automatic evaluation of summaries
Lin, C.-Y · 2004
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Development and evaluation of a clinical note section header terminology
Denny, J. C., Miller, R. A., Johnson, K. B. & Spickard, A · 2008
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Speech and language processing: An introduction to speech recognition, computational linguistics and natural language processing
Jurafsky, D. & Martin, J. H · 2008
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Bitext alignment
Tiedemann, J · 2011
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The cost of technology
Toll, E · 2012
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Computerized provider documentation: findings and implications of a multisite study of clinicians and administrators
Embi, P. J. et al · 2013
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Use of internist’s free time by ambulatory care electronic medical record systems
McDonald, C. J. et al · 2014
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The use of medical scribes in health care settings: A systematic review and future directions
Shultz, C. G. & Holmstrom, H. L · 2015
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Quickumls: a fast, unsupervised approach for medical concept extraction
Soldaini, L. & Goharian, N · 2016
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From dictations to clinical reports using machine translation
Finley, G. et al · 2018
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A discourse-aware attention model for abstractive summarization of long documents
Cohan, A. et al · 2018
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Challenges of developing a digital scribe to reduce clinical documentation burden
Quiroz, J. C. et al · 2019
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SAMSum corpus: A human-annotated dialogue dataset for abstractive summarization
Gliwa, B., Mochol, I., Biesek, M. & Wawer, A · 2019
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Lee, J. et al · 2019
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SAMSum corpus: A human-annotated dialogue dataset for abstractive summarization
Gliwa, B., Mochol, I., Biesek, M. & Wawer, A · 2019
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Bertscore: Evaluating text generation with bert, 10.48550/ARXIV.1904.09675 (2019)
Bleurt: Learning robust metrics for text generation, 10.48550/ARXIV.2004.04696 (2020)
Sellam, T., Das, D. & Parikh, A. P · 2020
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Generating SOAP notes from doctor-patient conversations using modular summarization techniques
Krishna, K., Khosla, S., Bigham, J. & Lipton, Z. C · 2021
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Leveraging pretrained models for automatic summarization of doctor-patient conversations
Zhang, L. et al · 2021
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Towards automating medical scribing : Clinic visit Dialogue2Note sentence alignment and snippet summarization
Yim, W.-w. & Yetisgen, M · 2021
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MedicalSum: A guided clinical abstractive summarization model for generating medical reports from patient-doctor conversations
Michalopoulos, G., Williams, K., Singh, G. & Lin, T · 2022
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Zhang, T., Kishore, V., Wu, F., Weinberger, K. Q. & Artzi, Y · 2019
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Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Irvin, J. et al · 2019
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How does medical scribes’ work inform development of speech-based clinical documentation technologies? a systematic review
Tran, B. D., Chen, Y., Liu, S. & Zheng, K · 2020
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Generating medical reports from patient-doctor conversations using sequence-to-sequence models
Enarvi, S. et al · 2020
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Alignment annotation for clinic visit dialogue to clinical note sentence language generation
Yim, W.-w., Yetisgen, M., Huang, J. & Grossman, M · 2020
Cited alongside, same era.
Longformer: The long-document transformer, 10.48550/ARXIV.2004.05150 (2020)
Beltagy, I., Peters, M. E. & Cohan, A · 2020
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PriMock57: A dataset of primary care mock consultations
Papadopoulos Korfiatis, A., Moramarco, F., Sarac, R. & Savkov, A · 2022
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(in press): An empirical study of clinical note generation from doctor-patient encounters
Ben Abacha, A., Yim, W.-w., Fan, Y. & Lin, T · 2023
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SOAP notes
Podder, V., Lew, V. & Ghassemzadeh, S · 2023
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Sparks of artificial general intelligence: Early experiments with GPT-4
Bubeck, S. et al · 2023
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GPT-4 technical report
OpenAI · 2023
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